I'm getting a lot of scam/North Korean approaches to mule/front for them.
755 karma · joined October 1, 2024
I'm getting a lot of scam/North Korean approaches to mule/front for them.
I use AI to build DS pipelines. 15+ years shipping ML inside messy, regulated environments - automotive, mineral rights, health care, maritime security, logistics. I go on-site (or virtually), dig up the data nobody mapped, figure out what the right question is, then build and deploy. Part Archeologist, part anthropologist, and part data scientist.
What I've done:
- Built a corrosion detection system classifying corrosion (API 571), and pitting depths from imagery and structured light.
- Deployed an AI validation pipeline for BIM/CAD against 400-page ESG standards, cutting review from days to minutes.
- Built and integrated a part-failure prediction system into a German automaker's production workflow, avoiding lemon law recalls ($20M+ exposure)
- Oil & gas well and lease production forecasting.
- Stood up real-time emissions detection on industrial smokestacks, preventing $75K-per-incident fines
- Revenue optimization and persona identification for debt collections (15-20% net revenue lift)
- Built an LLM-based legal document extraction system (land runsheets), collapsing 3-day DD cycles to 30 minutes.
- Built vessel piracy risk engine that informed naval escort deployment, contributing to fewer hijackings.
Things I won't work on: - Gambling.
- Ads/Surveillance.
- Payday loans/rent-to-own.
Email me (in bio) with a short description of your problem. I'll reply promptly.You’re right. So Russ was an amalgamation of sacca, cuban, and probably a few more.
The beard, the shirts, the sexual assault allegations. The three nannies suing him - one for no good reason!
Good work.
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SEEKING CONTRACT WORK | Forward Deployed Data scientist | Canada/Remote WorldwideForward-deployed data scientist. 15+ years shipping ML inside messy, regulated environments - automotive, mineral rights, health care, maritime security, logistics. I go on-site (or virtually), dig up the data nobody mapped, figure out what the right question is, then build and deploy. Part Archeologist, part anthropologist, and part data scientist.
What I've done:
- Deployed an AI validation pipeline for BIM/CAD against 400-page ESG standards, cutting review from days to minutes.
- Built and integrated a part-failure prediction system into a German automaker's production workflow, avoiding lemon law recalls ($20M+ exposure)
- Oil & gas well and lease production forecasting.
- Stood up real-time emissions detection on industrial smokestacks, preventing $75K-per-incident fines
- Revenue optimization and persona identification for debt collections (15-20% net revenue lift)
- Built an LLM-based legal document extraction system (land runsheets), collapsing 3-day DD cycles to 30 minutes.
- Built vessel piracy risk engine that informed naval escort deployment, contributing to fewer hijackings.
Things I won't work on: - Gambling.
- Ads/Surveillance.
- Payday loans/rent-to-own.
Email me (in bio) with a short description of your problem. I'll reply promptly.A warning: Don't burn Chrome.
I can finally have my own Dixie flatline. Cool.
It certainly increases shareholder value.
Email in profile.
The default regime is instability. Computational capacity is unstable through time, and the problem size itself changes (fractally) through time.
Most of what people call "data science" is now doable with an LLM and a weekend. I focus on the messy, ambiguous, regulation-heavy gnarly problems where nobody is sure what the right question is. Often it involves getting hands on to find the data and signal that's really needed.
What I've done:
- AI verification of building and architectural BIM/CAD against 400 page ESG standards. (Days of work down to minutes)
- Part failure prediciton, saving a German automaker from lemon law recalls. ($20M+ exposure avoided)
- Oil & gas well and lease production forecasting.
- Real-time emissions detection for industrial smokestacks. ($75K fines per incident prevented)
- Revenue optimization and persona identification for debt collections (15-20% net revenue lift)
- LLM-based legal document extraction (land runsheet), reducing due diligence turnaround from 3 days to 30 minutes
- Built vessel piracy risk engine that informed naval escort deployment, contributing to fewer hijackings
Things I'm unwilling to work on: - Gambling.
- Ads/Surveillance.
- Payday loans/rent-to-own.
Email me with a short description of your problem. If it's hard enough, I'll reply within 24 hours.One of those ships crashes and the boys from the Dwarf find the service mechanoid, which is how they get Kryten.
Naturally it got shut down and your media no longer plays.
Wolfram had come up with some normal techie names "computron", "math-o-matic" or whatever. SJ said No those suck, use something simple like Mathematica.
SJ recommended some of the UI bits of the notebook. Particularly the separators between cells.
The idea is decompile something like Wordperfect or Framemaker, then port the NeXTStep code to GNUStep and have WP on GNUStep/Linux.
We know Sick Boy (Zero Cool) would be an emacs user.
They offered to help me setup an Upwork account too. Tiresome creeps.
But now the Nigerian "format" scammers are into job scams. I got an email that reeked and played along a bit. I was "hired" after a curiously simple interview via signal, and had to wait for my "supervisor" to come train me.
Eventually I got the "boss" on the line to talk, he went absolutely postal when I asked if he was an African scammer. Apparently that's racist now.
Most of what people call "data science" is now doable with an LLM and a weekend. I focus on the messy, ambiguous, regulation-heavy gnarly problems where nobody is sure what the right question is. With AI as an execution lever, of course.
What I've done:
- Saved a German automaker from lemon law recalls. ($20M+ exposure avoided)
- Real-time emissions detection for industrial smokestacks. ($75K fines per incident prevented)
- Revenue optimization and persona identification for debt collections (15-20% net revenue lift)
- LLM-based legal document extraction, reducing due diligence turnaround from 3 days to 30 minutes
- Built vessel piracy risk engine that informed naval escort deployment, contributing to fewer hijackings
Things I'm unwilling to work on: - Gambling.
- Ads/Surveillance.
- Payday loans/rent-to-own.
Email me with a one-paragraph description of your problem. If it's weird enough, I'll reply within 24 hours.Maybe a consultancy of people who have seen and done it all before - Very selective of their clients.
But the money was so good we (The royal we) didn't think we needed it, that would just get in the way. Did you see how much FB employees were getting paid in 2015! Insanity! Now, even the skutters have a better union than us.
A plumber, or an electrician has a better union, and hence rights and protection than us.
But if you're building a brand new field you can still build a guild.